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Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study.
Circulation 2003; 108(4):414-9Circ

Abstract

BACKGROUND

The National Cholesterol Education Program (NCEP) recently proposed a simple definition for metabolic syndrome. Information on the prospective association of this definition for coronary heart disease (CHD) and type 2 diabetes is currently limited.

METHODS AND RESULTS

We used a modified NCEP definition with body mass index in place of waist circumference. Baseline assessments in the West of Scotland Coronary Prevention Study were available for 6447 men to predict CHD risk and for 5974 men to predict incident diabetes over 4.9 years of follow-up. Mean LDL cholesterol was similar but C-reactive protein was higher (P<0.0001) in the 26% of men with the syndrome compared with those without. Metabolic syndrome increased the risk for a CHD event [univariate hazard ratio (HR)=1.76 (95% CI, 1.44 to 2.15)] and for diabetes [univariate HR=3.50 (95% CI 2.51 to 4.90)]. Metabolic syndrome continued to predict CHD events (HR=1.30, 95% CI, 1.00 to 1.67, P=0.045) in a multivariate model incorporating conventional risk factors. Men with 4 or 5 features of the syndrome had a 3.7-fold increase in risk for CHD and a 24.5-fold increase for diabetes compared with men with none (both P<0.0001). C-reactive protein enhanced prognostic information for both outcomes. With pravastatin, men with the syndrome had similar risk reduction for CHD as compared with those without (HR, 0.73 and 0.69; pravastatin versus placebo).

CONCLUSIONS

A modified NCEP metabolic syndrome definition predicts CHD events, and, more strikingly, new-onset diabetes, and thus helps identify individuals who may receive particular benefit from lifestyle measures to prevent these diseases.

Authors+Show Affiliations

University Department of Pathological Biochemistry, Glasgow Royal Infirmary, 10 Alexandra Parade, Glasgow G31 2ER, Scotland, UK. nsattar@clinmed.gla.ac.ukNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

12860911

Citation

Sattar, Naveed, et al. "Metabolic Syndrome With and Without C-reactive Protein as a Predictor of Coronary Heart Disease and Diabetes in the West of Scotland Coronary Prevention Study." Circulation, vol. 108, no. 4, 2003, pp. 414-9.
Sattar N, Gaw A, Scherbakova O, et al. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation. 2003;108(4):414-9.
Sattar, N., Gaw, A., Scherbakova, O., Ford, I., O'Reilly, D. S., Haffner, S. M., ... Shepherd, J. (2003). Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation, 108(4), pp. 414-9.
Sattar N, et al. Metabolic Syndrome With and Without C-reactive Protein as a Predictor of Coronary Heart Disease and Diabetes in the West of Scotland Coronary Prevention Study. Circulation. 2003 Jul 29;108(4):414-9. PubMed PMID: 12860911.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. AU - Sattar,Naveed, AU - Gaw,Allan, AU - Scherbakova,Olga, AU - Ford,Ian, AU - O'Reilly,Denis St J, AU - Haffner,Steven M, AU - Isles,Chris, AU - Macfarlane,Peter W, AU - Packard,Chris J, AU - Cobbe,Stuart M, AU - Shepherd,James, Y1 - 2003/07/14/ PY - 2003/7/16/pubmed PY - 2003/9/10/medline PY - 2003/7/16/entrez SP - 414 EP - 9 JF - Circulation JO - Circulation VL - 108 IS - 4 N2 - BACKGROUND: The National Cholesterol Education Program (NCEP) recently proposed a simple definition for metabolic syndrome. Information on the prospective association of this definition for coronary heart disease (CHD) and type 2 diabetes is currently limited. METHODS AND RESULTS: We used a modified NCEP definition with body mass index in place of waist circumference. Baseline assessments in the West of Scotland Coronary Prevention Study were available for 6447 men to predict CHD risk and for 5974 men to predict incident diabetes over 4.9 years of follow-up. Mean LDL cholesterol was similar but C-reactive protein was higher (P<0.0001) in the 26% of men with the syndrome compared with those without. Metabolic syndrome increased the risk for a CHD event [univariate hazard ratio (HR)=1.76 (95% CI, 1.44 to 2.15)] and for diabetes [univariate HR=3.50 (95% CI 2.51 to 4.90)]. Metabolic syndrome continued to predict CHD events (HR=1.30, 95% CI, 1.00 to 1.67, P=0.045) in a multivariate model incorporating conventional risk factors. Men with 4 or 5 features of the syndrome had a 3.7-fold increase in risk for CHD and a 24.5-fold increase for diabetes compared with men with none (both P<0.0001). C-reactive protein enhanced prognostic information for both outcomes. With pravastatin, men with the syndrome had similar risk reduction for CHD as compared with those without (HR, 0.73 and 0.69; pravastatin versus placebo). CONCLUSIONS: A modified NCEP metabolic syndrome definition predicts CHD events, and, more strikingly, new-onset diabetes, and thus helps identify individuals who may receive particular benefit from lifestyle measures to prevent these diseases. SN - 1524-4539 UR - https://www.unboundmedicine.com/medline/citation/12860911/Metabolic_syndrome_with_and_without_C_reactive_protein_as_a_predictor_of_coronary_heart_disease_and_diabetes_in_the_West_of_Scotland_Coronary_Prevention_Study_ L2 - http://www.ahajournals.org/doi/full/10.1161/01.CIR.0000080897.52664.94?url_ver=Z39.88-2003&amp;rfr_id=ori:rid:crossref.org&amp;rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -